code: def predict_records(self):
      if not self._predict_records:
          examples = self.predict_examples
          if not self.tokenizer or not examples:
              return []
          logger.info("Processing the predict set...")
          self._predict_records = self._convert_examples_to_records(
              examples, phase="predict"
          )
      return self._predict_records
  
imports: import io
  import csv
  import collections
  import numpy
  from tqdm import tqdm
  from paddlehub.compat.datasets.base_dataset import InputExample, BaseDataset
  from paddlehub.utils.log import logger
  from paddlehub.text.tokenizer import CustomTokenizer
  from paddlehub.text.bert_tokenizer import BertTokenizer
label_desc: Use image node_id 5 for calling the BaseNLPDataset obj's underlying member method code with example usage: obj.predict_records() and returns: self, list